https://onnxruntime.ai/_app/immutable/nodes/35.e0306561.js

1import{s as se,f as i,a as h,l as ie,r as re,g as o,d as n,c as w,h as A,m as oe,D as Y,j as e,v as t,i as N,C as de}from"../chunks/scheduler.e2b5ccef.js";import{S as ce,i as le,b as me,d as ue,m as pe,a as he,t as we,e as ge}from"../chunks/index.67416819.js";import{O as ve}from"../chunks/ONNX-Light.0842f50d.js";function fe(D){let c,f,b,x,y,_,M,W,E,I,g,l,r,T,B,G,j,V,X,k,q,H,z,P,m,J="Get started with ONNX Runtime for Windows →",U,L,v,O,u,K=`<h1 class="text-4xl pb-4">Benefits</h1> <div class="grid gap-10 grid-cols-1 md:grid-cols-3 pb-10"><div class="card bg-base-300"><div class="card-body items-center text-center"><h2 class="card-title">Run AI models on Windows with the same tools used by Microsoft internally</h2></div></div> <div class="card bg-base-300"><div class="card-body items-center text-center"><h2 class="card-title">Extend your Windows AI investment to all your app platforms</h2></div></div> <div class="card bg-base-300"><div class="card-body items-center text-center"><h2 class="card-title">Enable hybrid inference scenarios that switch between local resources and the cloud</h2></div></div></div> <p>To learn more about the benefits of using ONNX Runtime with Windows, check out some of our
2		recent blogs:</p> <a class="btn btn-primary rounded-sm mb-4 md:mb:0" href="https://blogs.windows.com/windowsdeveloper/2023/05/23/unlocking-the-end-to-end-windows-ai-developer-experience-using-onnx-runtime-and-olive/">Unlocking the end-to-end Windows AI developer experience using ONNX Runtime and Olive →</a> <a class="btn btn-primary rounded-sm" href="https://blogs.windows.com/windowsdeveloper/2023/05/23/bringing-the-power-of-ai-to-windows-11-unlocking-a-new-era-of-productivity-for-customers-and-developers-with-windows-copilot-and-dev-home/">Bringing the power of AI to Windows 11 →</a>`,R,p,Q=`<h1 class="text-4xl pb-4">Examples</h1> <div class="grid gap-10 grid-cols-1 md:grid-cols-2"><div class="card bg-base-300"><div class="card-body"><h2 class="card-title">Windows ML Samples Gallery</h2> <p>This gallery demonstrates different machine learning scenarios and features using <a class="dark:text-blue-300 text-blue-800 underline" href="https://docs.microsoft.com/en-us/windows/ai/windows-ml/">Windows ML</a>
3					in an interactive format. The app is an interactive companion that shows the integration of
4					<a class="dark:text-blue-300 text-blue-800 underline" href="https://docs.microsoft.com/en-us/uwp/api/windows.ai.machinelearning">Windows Machine Learning Library APIs</a>
5					into a desktop
6					<a class="dark:text-blue-300 text-blue-800 underline" href="https://docs.microsoft.com/en-us/uwp/api/windows.ai.machinelearning">WinUI 3</a> application.</p> <div class="card-actions"><a href="https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery" class="btn btn-primary hidden md:grid rounded-sm">Check out the Windows ML Sample Gallery →</a> <a href="https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery" class="btn btn-primary md:hidden rounded-sm">Windows ML Sample Gallery →</a></div></div></div> <div class="card bg-base-300"><div class="card-body"><h2 class="card-title">SqueezeNet Object Detection</h2> <p>This is a desktop application that uses SqueezeNet, a pre-trained machine learning model,
7					to detect the predominant object in an image selected by the user from a file.</p> <div class="card-actions"><a href="https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery" class="btn btn-primary rounded-sm">Check out SqueezeNet →</a></div></div></div></div>`,$;return v=new ve({props:{height:250,width:250}}),{c(){c=i("meta"),f=i("meta"),b=i("meta"),x=i("meta"),y=i("meta"),_=i("meta"),M=i("meta"),W=i("meta"),E=i("meta"),I=h(),g=i("div"),l=i("div"),r=i("div"),T=i("h1"),B=ie(ae),G=h(),j=i("br"),V=i("br"),X=h(),k=i("p"),q=ie(S),H=h(),z=i("br"),P=h(),m=i("a"),m.textContent=J,U=h(),L=i("div"),me(v.$$.fragment),O=h(),u=i("div"),u.innerHTML=K,R=h(),p=i("div"),p.innerHTML=Q,this.h()},l(a){const s=re("svelte-mcb9eb",document.head);c=o(s,"META",{name:!0,content:!0}),f=o(s,"META",{name:!0,content:!0}),b=o(s,"META",{name:!0,content:!0}),x=o(s,"META",{name:!0,content:!0}),y=o(s,"META",{property:!0,content:!0}),_=o(s,"META",{property:!0,content:!0}),M=o(s,"META",{property:!0,content:!0}),W=o(s,"META",{property:!0,content:!0}),E=o(s,"META",{property:!0,content:!0}

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